TL;DR

Data Engineer (Fintech): Building large-scale data systems to enhance financial inclusion for underserved communities with an accent on data processing, storage, and pipeline design. Focus on developing data-driven culture, automating testing, and collaborating with cross-functional teams.

Location: Hybrid - Cyprus, Limassol; Georgia; Kazakhstan

Company

%hirify_global%.Money is a new fintech vertical focused on providing fair access to financial services for gig workers.

What you will do

Develop the data-driven culture within the company;
Develop processes for data processing, storage, cleaning, and enrichment;
Design and maintain data pipelines from collection to consumption;
Create infrastructure for storing and processing large datasets on K8S, Terraform;
Automate testing, validation, and monitoring of data;
Participate in system design and architectural decision-making.

Requirements

Expert in Python 3.7+, experience with PySpark;
Deep knowledge of SQL;
Extensive experience building ETLs with Airflow2;
Industrial experience with Kubernetes;
Understanding of data processing principles and algorithms;
Excellent knowledge of OOP, design patterns, clean architecture.

Nice to have

Experience with high-load services;
DevOps skills and CI/CD automation experience.

Culture & Benefits

Stable salary, official employment;
Health insurance;
Hybrid work mode and flexible schedule;
Relocation package offered for candidates from other regions;
Access to professional counseling services including psychological, financial, and legal support;
Diverse internal training programs.